Bayesian inference for psychology. Part II: Example applications with JASP

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the...

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Bibliographic Details
Published in:Psychonomic bulletin & review 2018-02, Vol.25 (1), p.58-76
Main Authors: Wagenmakers, Eric-Jan, Love, Jonathon, Marsman, Maarten, Jamil, Tahira, Ly, Alexander, Verhagen, Josine, Selker, Ravi, Gronau, Quentin F., Dropmann, Damian, Boutin, Bruno, Meerhoff, Frans, Knight, Patrick, Raj, Akash, van Kesteren, Erik-Jan, van Doorn, Johnny, Šmíra, Martin, Epskamp, Sacha, Etz, Alexander, Matzke, Dora, de Jong, Tim, van den Bergh, Don, Sarafoglou, Alexandra, Steingroever, Helen, Derks, Koen, Rouder, Jeffrey N., Morey, Richard D.
Format: Article
Language:English
Subjects:
Bayes Theorem
Bayesian analysis
Behavioral Science and Psychology
Brief Report
Cognitive Psychology
Experiments
Humans
Open access
Parameter estimation
Philosophy
Preferences
Psychologists
Psychology
Research Design
Researchers
Science
Software
Software packages
Software upgrading
Statistical methods
Theory
User interface
Variance analysis
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Summary:Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t -test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP ( http://www.jasp-stats.org ), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.
ISSN:1069-9384
1531-5320
DOI:10.3758/s13423-017-1323-7